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Hunan Valin Wire & Cable Co (001208) Fair Value & Analysis

Industrials · CN · Market cap 10.2B CNY

Price¥15.20
Fair Value¥3.56
Upside-76.6%
Quality94/100
Evidence: High Range ¥3.20 – ¥4.52

Analysis

Hunan Valin Wire & Cable Co (001208) currently trades at ¥15.20, while our model-based Fair Value estimate is ¥3.56 — implying the stock looks roughly 76.6% overvalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Hunan Valin Wire & Cable Co.,Ltd. engages in the research, development, production, and sale of wires and cables in China. The company offers special cables, including data communication, robot, rail transit, mining, new energy special weather-resistant special soft, high flame retardant and fire-resistant, and special engineering equipment cables; aerospace and integrated equipment; and power cables, cables for electrical equipment, and bare conductors and wires. Its products are used in aerospace, smart mine, iron and steel smelting, high-end equipment, rail transit, green energy, smart grid, offshore oil, petrochemical, and building and home decoration industries. The company also exports its products in Southeast Asia, the Middle East, Africa, Central Asia, and internationally. Hunan Valin Wire & Cable Co.,Ltd. was founded in 1951 and is based in Xiangtan, China.

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.